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Fujitsu Laboratories Ltd. has developed an AI technology that automatically determines whether action is needed in response to a cyberattack.

When a business network has been hit with a cyberattack, various security appliances detect the attack on the network's servers and devices. Conventionally, an expert in cyberattack analysis then manually investigates and checks the degree of threat, to determine whether action is needed to minimize damage.

To secure the necessary training data needed to develop highly accurate AI technology, Fujitsu Laboratories has developed a technology that identifies and extracts attack logs, which show the behavior of a cyberattack, from huge amounts of operations logs. It also developed a technology that expands on the small number of training data extracted in a manner that does not spoil attack characteristics. This generates a sufficient amount of training data.

In simulations using these technologies, they achieved a match rate of about 95% in comparison with experts' conclusions regarding the need for action, and they did not miss any attack cases that required a response. The time necessary to reach a conclusion was also shortened from several hours to several minutes, according to Fujitsu.

"By using these technologies, countermeasures can quickly be put in place for cyberattacks that have been determined to require action, contributing to business continuity and the prevention of loss," the company says.

Fujitsu aims to make use of the new technologies within its Managed Security Services, as a response platform for cyberattacks.